Daniel Maserang, DSC adyysd@r.postjobfree.com

LinkedIn Profile 702-***-****

Education

• DSc Economics & Systems Mathematics, MS Systems Mathematics, MA Econometrics o Washington University in St. Louis

• BS Astronautical and Astronautical Engineering, minor in Economics o Massachusetts Institute of Technology

Professional Experience

DIRECTOR MARKETING DATA SCIENCE & INSIGHTS • SUNRISE SENIOR LIVING • 5/2022-3/2023 A leading provider of senior living services, with over 270 facilities and 27,000 beds across North America.

• Recruited by CMO for a high priority corporate initiative creating a modern Marketing Technology stack.

• Lead Customer Data Platform project – the foundation of the MarTech stack – integrating and operationalizing disparate data sources, enhancing analytical speed and insight generation.

• Built and deployed a dynamic data-driven advanced analytical model for lead scoring, a first for the business, increasing sales team efficiency by focusing on the highest probability leads.

• PYTHON, SQL, POWER BI, SNOWFLAKE, AZURE, MSSS

DIRECTOR DATA SCIENCE • OPTX • 5/2021-5/2022

A SaaS startup providing a cutting-edge, data-driven management platform for casino management.

• Recruited as Principal Developer to transfer deep industry experience into high demand ML/AI modules for Marketing and Gaming insights.

• Successfully deployed ML modules for Slot Floor Game optimization; Marketing Offer Response prediction; Unique Customer Clustering; highly accurate (<5% monthly error) Revenue Forecasts.

• PYTHON, SQL, MSSS

EXECUTIVE DIRECTOR GLOBAL ANALYTICS • LAS VEGAS SANDS • 4/2012-3/2019 Was the world’s leading and largest Integrated Resort developer and operator with $14B revenue in 2019.

• $30M savings by reducing credit defaults 15% with an operationalized ML credit-score model and by developing, joining, and structuring new and unique data sources.

• $6M (2%) increased corporate resource allocation efficiency and 0.8 increase in Net Promoter Score (NPS) with predictive PCA/multinomial logistics model from survey data identifying the highest-impact areas.

• 100% ($2M) profit increase in cabana rental using Generalized Linear Models (GLM) to optimize pricing.

• 25% reduction in credit department labor with a decision model for approving small (<$50,000) markers.

• 50% reduction in analytics staff time by relentlessly automating BI reporting, from 60% to 30%.

• Grew the team from 3 to 9 members in two years, comprising 2 PhDs, 3 MS, and 4 BS.

• SAS, SQL, PYTHON, EXCEL VBA, ETL

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HEAD MARKET & QUANTITATIVE RISK • SEMPRA ENERGY (RBS/SOCGEN) • 2/2009-3/2012 World-class energy commodity trading organization, with 2010 $1B P&L, and $3B valuation

• Recruited to lead electricity quantitative risk (staff 3), retained/promoted at sale to head Market and Quantitative gas and electricity risk with staff of 5.

• Review/Approve all major deals, particularly model-dependent derivative products.

• Built and conducted stress-testing suite for Federal Reserve and FSB (the UK Fed).

• Responsible for reviews with CEO and Trading Heads on performance, risk, and trade recommendations.

• MATLAB, PYTHON, EXCEL VBA

VP TRADING, ANALYTICS, MARKETING, RISK • INTERNATIONAL POWER (LSE: IPR), North America • 7/1997-2/2009

Multi-continent energy generation and trading organization, with 2009 market cap of £6.6B

• Recruited to lead US quantitative analytics, promoted to VP (1 of 5 Executive team overseeing all US strategy and operations.)

• P&L responsibility for ALL company revenue; delivered multiple years with $25-50M over a $250M aggressive target using data-driven strategies and quantitative analytics.

• Developed cutting-edge energy derivatives models on multi-commodity assets.

• Innovative cross-sectional/time-series models for hourly energy forecasts and pricing.

• Grew team from 6 to 24 Commodity Traders, Quant/Risk Analysts, Marketers.

• MATLAB, EXCEL VBA

HEAD OF ANALYTICS • INTERBLOCK GAMING • 4/2019-5/2021 Worldwide leading developer and supplier of luxury electronic table gaming products ($800M valuation)

• Utilized data collection and analytical tools to scale the unit base from 4,000 to 9,000 seats, while helping to reduce the removal rate from 25% to 7%

• Designed and deployed a new data collection and analytics system with significant impact on the business trajectory by improving gaming product performance, enhance customer experience, and optimizing casino efficiency and profitability.

• Jointly reporting to both President and CEO, demonstrated the importance of data-driven decision-making in driving company growth and success.

• QLICKVIEW, QLIKSENSE, PYTHON, EXCEL VBA, POWER BI, POWER QUERY

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